Month 6 - AI Systems at a Senior Level: RAG, Agents, Evals, Training, Serving

Goal: by the end of week 24 you can (a) design a RAG pipeline end-to-end with explicit choices on chunking, embedding, indexing, retrieval, reranking, and prompting, (b) build a tool-using agent with durable execution, observability, and cost ceilings, (c) run an offline + online evaluation harness that catches regressions before users do, and (d) fine-tune, serve, and roll out a small open-weights model behind a FastAPI gateway.

This is the synthesis month. Every prior month feeds in.

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Weeks

• Week 21 - LLM-App Foundations: Prompts, Tokens, Streaming, Cost
• Week 22 - Retrieval-Augmented Generation: Doing It Properly
• Week 23 - Agents, Tools, Durable Execution, Cost & Safety
• Week 24 - Training, Serving, Rollout, and the Capstone Defense

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